- Introduced a new endpoint for validating CSV templates without saving, allowing users to check field mappings and type conversions. - Updated the `create_system_template` and `update_system_template` functions to include validation reports in responses. - Enhanced error handling in CSV import processes by integrating `enrich_row_error` for more informative error messages. - Improved the AdminCsvTemplateEditorPage to support format checking and display validation results, enhancing user experience. - Incremented version numbers for `csv_import` and `admin_csv_templates` to reflect these updates.
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
"""Formatprüfung CSV-Vorlagen (template_validator)."""
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from __future__ import annotations
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from csv_parser.template_validator import validate_csv_template
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def test_validate_kj_column_warns_without_source_unit():
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r = validate_csv_template(
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"activity",
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{"Aktive Energie (kJ)": "kcal_active", "Start": "start_time", "Trainingsart": "activity_type"},
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{"start_time": {"type": "datetime", "format": "yyyy-mm-dd HH:MM:SS", "flexible": True}},
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None,
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None,
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)
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assert r["valid"] is True
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codes = {w["code"] for w in r["warnings"]}
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assert "energy_kj_without_source_unit" in codes
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def test_validate_invalid_target_error():
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r = validate_csv_template(
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"activity",
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{"X": "not_a_field"},
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{},
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None,
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None,
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)
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assert r["valid"] is False
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assert any(e["code"] == "invalid_field_mapping" for e in r["errors"])
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def test_validate_duplicate_target_warning():
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r = validate_csv_template(
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"weight",
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{"A": "weight", "B": "weight", "Tag": "date"},
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{
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"weight": {"type": "float", "decimal_separator": "."},
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"date": {"type": "date", "format": "yyyy-mm-dd", "flexible": True},
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},
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None,
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None,
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)
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assert r["valid"] is True
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assert any(w["code"] == "duplicate_target_columns" for w in r["warnings"])
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